Cooperative sensing in mobile sensor networks based on distributed consensus

Hung Manh La; Weihua Sheng

doi:10.1117/12.895519

16 September 2011 Cooperative sensing in mobile sensor networks based on distributed consensus

Hung Manh La, Weihua Sheng

Proceedings Volume 8137, Signal and Data Processing of Small Targets 2011; 81370Y (2011) https://doi.org/10.1117/12.895519
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

Mobile sensor networks (MSNs) have wide applications such as military target detection and tracking, detection of toxic chemicals in contaminated environments, and search and rescues after disasters, etc. In many applications, a core problem is to conduct cooperative scalar field mapping (or searching) over a large area of interest. Centralized solutions to the scalar field mapping may not fit for large mobile sensor network due to the single-point-of-failure problem and the limited scalability. In this paper, autonomous mobile sensor networks are deployed to map a scalar field in a cooperative and distributed fashion. We develop a cooperative sensor fusion algorithm based on distributed consensus filters. In this algorithm each agent receives measurements from its neighboring agents within its communication range, and iteratively updates the estimate of the unknown scalar field and an associated confidence map. A motion planning algorithm is used to obtain a path for complete coverage of the field of interest. A distributed flocking control algorithm is adopted to drive the center of the mobile sensor network to track the desired paths. Computer simulations are conducted to validate the proposed algorithms. We evaluate the mapping performance by comparing it with a centralized mapping algorithm. Such a cooperative sensing approach can be used in many military surveillance applications where targets may be small and elusive.

Citation Download Citation

Hung Manh La and Weihua Sheng "Cooperative sensing in mobile sensor networks based on distributed consensus", Proc. SPIE 8137, Signal and Data Processing of Small Targets 2011, 81370Y (16 September 2011); https://doi.org/10.1117/12.895519

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available